yolo-tf2
DISCONTINUED
Beginner-Traffic-Light-Detection-OpenCV-YOLOv3
Our great sponsors
yolo-tf2 | Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 | |
---|---|---|
1 | 3 | |
747 | 34 | |
- | - | |
7.6 | 3.2 | |
over 1 year ago | about 3 years ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
yolo-tf2
We haven't tracked posts mentioning yolo-tf2 yet.
Tracking mentions began in Dec 2020.
Beginner-Traffic-Light-Detection-OpenCV-YOLOv3
-
I made a traffic light detection program with a self-trained dataset
This is my first CV project. I made a Python program that identifies Traffic Lights in video's. The dataset I made consists of hundreds of images of Traffic lights I made myself using my Dashcam. The training was done with a Google Colab GPU.Please take a look at my project and let me know what you think! (https://github.com/initdebugs/Beginner-Traffic-Light-Detection-OpenCV-YOLOv3)
What are some alternatives?
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
SkunkBooth - Text based command line webcam photobooth app
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
imagezmq - A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.
YOLO-Mosaic - Perform mosaic image augmentation on data for training a YOLO model
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
onnx-tensorflow - Tensorflow Backend for ONNX
xview-yolov3 - xView 2018 Object Detection Challenge: YOLOv3 Training and Inference.
yolov4-custom-functions - A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.